Baidu (BIDU) Operating Expenses (2009 - 2026)
Baidu's Operating Expenses came in at $4.17 billion for the quarter ended Jun 30, 2026, up 1.5% from $4.11 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
Baidu (BIDU) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Baidu reported Operating Expenses of $19.33 billion, up 20.5% year-over-year; for the year ended Dec 31, 2025, it was $19.29 billion, up 25.9% from the prior year.
- Going back by year, Operating Expenses was $15.32 billion in the year ended Dec 31, 2024 (-3.5%), $15.88 billion in the year ended Dec 31, 2023 (+1.6%), $15.62 billion in the year ended Dec 31, 2022 (-12.6%) and $17.89 billion in the year ended Dec 31, 2021.
- The five-year range for quarterly Operating Expenses is $3.61 billion (the quarter ended Mar 31, 2024) to $6.5 billion (the quarter ended Sep 30, 2025).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in the quarter ended Sep 30, 2025 (growth of 65.0%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 16.7%).
- Business Quant data shows BIDU's Operating Expenses at $4.19 billion (quarter ended Mar 31, 2026), $4.47 billion (quarter ended Dec 31, 2025) and $6.5 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.04 Bn | 247.11 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 247.06 Bn | 227.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Snowflake | 100.18 Bn | 87.50 Bn | 1.04 Bn | 1.30 Bn |
| 4 | Fortinet | 94.10 Bn | 80.03 Bn | 1.64 Bn | 953.90 Mn |
| 5 | Datadog | 68.30 Bn | 49.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 35.73 Bn | 21.85 Bn | - | - |
| 7 | Axon Enterprise | 33.98 Bn | 28.51 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Okta | 32.29 Bn | 22.38 Bn | 641.00 Mn | 534.00 Mn |
| 9 | MongoDB | 26.16 Bn | 16.62 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 4.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Bn |
| Mar 31, 2026 | 4.19 Bn |
| Dec 31, 2025 | 4.47 Bn |
| Sep 30, 2025 | 6.50 Bn |
| Jun 30, 2025 | 4.11 Bn |
| Mar 31, 2025 | 3.85 Bn |
| Dec 31, 2024 | 4.14 Bn |
| Sep 30, 2024 | 3.94 Bn |
| Jun 30, 2024 | 3.85 Bn |
| Mar 31, 2024 | 3.61 Bn |
| Dec 31, 2023 | 4.16 Bn |
| Sep 30, 2023 | 3.86 Bn |
| Jun 30, 2023 | 3.98 Bn |
| Mar 31, 2023 | 3.81 Bn |
| Dec 31, 2022 | 4.13 Bn |
| Sep 30, 2022 | 3.83 Bn |
| Jun 30, 2022 | 3.92 Bn |
| Mar 31, 2022 | 4.07 Bn |
| Dec 31, 2021 | 4.89 Bn |
| Sep 30, 2021 | 4.60 Bn |
API Access
Baidu Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BIDU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();